MemoryOS

📌 Overview

MemoryOS is the programmable memory layer for AI — built for continuity, context, and control. It solves one of the biggest limitations of large language models (LLMs): their inability to retain memory across interactions.

With MemoryOS, users can store structured memory — preferences, goals, facts, observations — and reuse them across different AI tools and agents. Our mission is to make memory portable, permissioned, and user-owned.

We're also building Sign in with MemoryOS, a universal identity and memory interface that allows users to bring their memory into any AI application — enabling interoperability across the LLM ecosystem.

“The programmable memory layer for your AI to think in context.”

❗ Problem

• 🔁 You repeat yourself every time you switch LLMs

• 🔒 Your memory isn’t truly owned or controlled by you

• 🧩 Context is trapped in silos across apps

• 🚫 No continuity, no personalization across tools

In the age of context engineering, memory is no longer optional. It’s essential.

💡 Solution

• 🧠 One memory layer for all your tools

• 💾 Store preferences, facts, and goals once

• 🔗 Let AI apps access what’s relevant, when needed

• 🔐 Fully permissioned and under your control

🧠 Core Features

✅ Memory Vault

• Store memory types like:

  • 🎯 Goals

  • 🎨 Preferences

  • 📚 Facts

  • 👁️ Observations

  • 🛠️ Instructions

• Attach priority levels (Low / Medium / High)

• Organize by profile (e.g. Work, Personal, Health)

🧭 Web App

• Manually add/edit memory entries

• Manage instructions and files

• Switch between profiles

• See which apps accessed memory and when

🧩 Chrome Extension

• Ingest context from browsing and online activity

• Inject memory into ChatGPT and other LLMs

• Overlay UI for prompt enhancement

🔌 Integrations

• Use MemoryOS with:

  • ChatGPT / Claude / Gemini (via prompt injection)

  • Notion, Telegram, Chrome (via extension)

  • Any agent via API or MCP

🔄 MCP Compatibility

• 🔄 MCP-native: MemoryOS can both supply and sync memory across any agent stack

• Connect a third-party agent as a memory source, or serve your memory vault as a memory sink for other tools

🔐 Memory Ownership

• Your memory is truly owned, managed, and controlled by you

• Each item has visibility scope and access permissions

• Supports decentralized storage (e.g., Filecoin, Lit Protocol)

🚀 How It Works

1. Ingest: via browser extension or web app

2. Store: structured memory with type and priority

3. Manage: organize, edit, delete, or tag memories

4. Inject: context auto-applied into AI tools

5. Sync: bidirectional MCP support

🎯 Use Cases

• Chat with context-aware assistants that remember you

• Build agents that act based on long-term goals and preferences

• Inject relevant memory into writing tools, productivity apps, and health logs

• Share memory with your own LLM stack

📈 Why Now

• 📈 AI agents and LLMs are everywhere — and growing fast

• 🙋‍♀️ Users want smarter, more personalized assistants

• 🧠 Memory is key to effective context engineering

• 🕸️ A shared memory standard unlocks ecosystem scale

📅 Roadmap

✅ Now

• Memory vault web app

• Chrome extension (inject + ingest)

• Manual and API-based memory input

🧠 Coming Next

• Encrypted Filecoin vaults

• Agent SDKs

• Multi-agent sync and team profiles

• Pay-to-store APIs

🧑‍💻 Built By

A team of AI-native builders who’ve lived through the pain of stateless agents:

• 50+ hackathons won

• Backgrounds in agents, consumer apps.

🔗 Demo & Preview

• 🧪 Try the demo: https://memoryos.vercel.app/

• 🎥 Watch the walkthrough: YouTube Demo

💬 Get Involved

• Want to contribute? Build on top? Test early features? Reach out to the team or request access at [ayushjain2205@gmail.com].